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whisper-small-arr – AI Model by RawandLaouini | AlphaNeural AI
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RawandLaouini
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whisper-small-arr
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
common_voice_13_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-small-arr
This model is a fine-tuned version of
openai/whisper-small
on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
Loss: 0.3378
Wer: 44.4001
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.354
0.4148
1000
0.4137
51.9261
0.2551
0.8295
2000
0.3677
49.1643
0.1659
1.2443
3000
0.3473
44.8745
0.1652
1.6591
4000
0.3378
44.4001
Framework versions
Transformers 4.51.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
